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Nitrite oxidizing bacteria (NOB) dominating in nitrifying community in full-scale biological nutrient removal wastewater treatment plants

Overview of attention for article published in AMB Express, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 624)
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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8 tweeters

Citations

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81 Dimensions

Readers on

mendeley
159 Mendeley
Title
Nitrite oxidizing bacteria (NOB) dominating in nitrifying community in full-scale biological nutrient removal wastewater treatment plants
Published in
AMB Express, January 2017
DOI 10.1186/s13568-017-0328-y
Pubmed ID
Authors

Qian Yao, Dang-Cong Peng

Abstract

Nitrification activities and microbial populations of ammonium oxidizing bacteria (AOB) and nitrite oxidizing bacteria (NOB) were investigated in 10 full-scale biological nutrient removal wastewater treatment plants in Xi'an, China. Aerobic batch tests were used to determine the nitrifying activities while fluorescence in situ hybridization was used to quantify the fractions of AOB and NOB in the activated sludge. The results showed that nitrifying bacteria accounted for 1-10% of the total population. Nitrosomonas and Nitrospira were the dominant bacteria for AOB and NOB respectively. Moreover, the average percentage of AOB was 1.27% and that of NOB was 4.02%. The numerical ratios of NOB/AOB varied between 1.72 and 5.87. The average ammonium uptake rate and nitrite uptake rate were 3.25 ± 0.52 mg (NH4(+)-N)/g(VSS) h and 4.49 ± 0.49 mg (NO2(-)-N)/g(VSS) h, respectively. Correspondingly, the activity of NOB was 1.08-2.00 times higher than that of AOB. Thus, NOB was the dominating bacteria in nitrifying communities. The year-round data of Dianzicun (W6) also expressed a similar trend. Since NOB had higher activities than that of AOB, a large nitrite oxidation pool could be formed, which guaranteed that no nitrite would be accumulated. Therefore, stable nitrification could be achieved. A conceptual model was proposed to describe the population variation of AOB and NOB in a nitrifying community.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 159 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 22%
Student > Bachelor 28 18%
Student > Master 23 14%
Researcher 14 9%
Student > Doctoral Student 9 6%
Other 19 12%
Unknown 31 19%
Readers by discipline Count As %
Engineering 28 18%
Environmental Science 26 16%
Agricultural and Biological Sciences 25 16%
Chemical Engineering 10 6%
Immunology and Microbiology 10 6%
Other 16 10%
Unknown 44 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 January 2017.
All research outputs
#1,971,461
of 9,723,500 outputs
Outputs from AMB Express
#35
of 624 outputs
Outputs of similar age
#82,509
of 316,783 outputs
Outputs of similar age from AMB Express
#5
of 55 outputs
Altmetric has tracked 9,723,500 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 624 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,783 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.